Agnostiq, Inc., the quantum computing SaaS startup, announced its latest benchmark research which analyzed the state of quantum computing hardware to determine its current and future practicality as a mainstream solution. The findings show that quantum computing hardware has improved over time and that application-specific benchmarks can serve as a more practical yardstick for comparing the capabilities of alternative types of quantum hardware.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2021
January 6, 2022 by
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – November 2021
December 17, 2021 by
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – July 2021
August 16, 2021 by
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2021
July 19, 2021 by
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
Why Predictive Analytics Is Crucial for Maximizing College Retention Efforts
June 8, 2021 by
In this contributed article, Bryan Bell, Chief Data Scientist at Aviso Retention, discusses how using data analytics and business intelligence programs to make smarter student enrollment choices helped colleges reduce their “summer melt” by about 1 percent last fall. These colleges also performed three times better than the national average in terms of their fall 2020 enrollment figures.
KDD 2020 Recognizes Winning Teams of 24th Annual KDD Cup
October 11, 2020 by
Across Four Competition Tracks, KDD Cup 2020 Tackled E-Commerce, Generative Adversarial Networks, Automatic Graph Representation Learning, Automated Machine Learning, Mobility-on-Demand (MoD) Platforms and Reinforcement Learning. KDD 2020, the premier interdisciplinary conference in data science, recognized over sixty winning teams in this year’s KDD Cup competition, which took place virtually Aug. 23-27, 2020.
KDD 2020 Showcases Brightest Minds in Data Science and AI
August 21, 2020 by
The Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD) will hold its flagship annual conference, KDD 2020, virtually, August 23-27. The KDD conference series, started in 1989, is the world’s oldest and largest data mining conference, and is the venue where concepts such as big data, data science, predictive analytics and crowdsourcing were first introduced.
How to Launch Your Data Science Career
July 24, 2020 by
Are you interested in getting into the field of data science? We don’t blame you. Data science is an exciting field that’s constantly changing and developing, which gives data scientists’ work endless potential. Here are six tips for ways that you can launch your data science career.
Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2020
July 16, 2020 by
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.
